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Comma 3 is s the best, to be honest. Due to CAN-FD on Ioniq 5 the setup is a little bit more complex, but this is the best experience, though they are still working on their own AEB implementation.


By the way, no adaptive cruise control does not always mean that there is no radar. Some car still keep the radar and use it for AEB, but have ACC disabled I’d you do not purchase it when configuring the car.


I think you are a little bit too harsh here. The author is one of the leading developers at Comma.ai - the company behind OpenPilot. I am closely following the project and regardless of what is your attitude towards OpenPilot, the author is definitely not someone, who jumps into EPS hacking without being aware of implications of his actions.


Eventually everything will disappear, so this is. It quite a valid counter argument. On the other hand, there is a real chance that these protocols have a shot on enabling preservation of data for a significant amount of time - literally hundreds of years, sensorship-free, which is kind of cool.


Check this recent podcast with Brave‘s founder, where, among other things, he is talking about how the search is implemented: https://podcasts.apple.com/de/podcast/modern-finance/id13386...



Never heard of this show before, but it got a new subscriber out of me. Thanks for the link to this!


Why do we even need such accuracy? Humans are extremely bad at estimating distance and nevertheless are quite ok drivers. ML needs to make sure that the car is not bumping at things or people, which is a very different task.


Because the failure modes are different. Humans with basically 100% accuracy both correctly recognize depth and put it into the right bucket of near/far but are woefully bad at estimating the numeric distance. So you’re right that you don’t need to do better than extremely coarse estimates like close, a few car lengths, in the distance, etc..

If computer vision fails at all to recognize depth (semi truck with clouds painted on it isn’t recognized) or misclassifies whether something is near or far that’s much more dangerous.


Yes, so "can/cannot bump into" is a classification tasks which needs quite some accuracy.

A human on the other hand can recognize another human with near perfect accuracy.


I have seen and driven recent BMW, latest VW (ID.3) and OpenPilot on Toyota RAV4 was giving me a much better experience in both lane keeping and as a product (driver monitoring, communication with the driver, overall UI and UX). BMW, VW score by having maps data integrated, that allows them to adjust speed for curves and traffic signs. However, it is not directly related to what comma is doing right now, so I am taking it out of the equation. Moreover, I think adding map data is just a matter of time for Comma.ai and I can imagine that adjusting speed in before entering a steep curve will be much better solved with vision, which seems also to be on Comma's roadmap.


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